On the Power of Interactive Proofs for Learning
Author:
Affiliation:
1. University of Cambridge, Cambridge, United Kingdom
2. Simon Fraser University, Burnaby, Canada
3. Qualcomm, Vancouver, Canada
Funder
MRC
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3618260.3649784
Reference30 articles.
1. Covert Learning: How to Learn with an Untrusted Intermediary
2. Marco L Carmosino, Russell Impagliazzo, Valentine Kabanets, and Antonina Kolokolova. 2017. Agnostic learning from tolerant natural proofs. In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2017).
3. Matthias C Caro Marcel Hinsche Marios Ioannou Alexander Nietner and Ryan Sweke. 2023. Classical Verification of Quantum Learning. arXiv preprint arXiv:2306.04843.
4. Testing and Learning Quantum Juntas Nearly Optimally
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